Detail Translating company internal data into customer needs: a text mining analysis approach (article of ARPN Journal of Engineering and Applied Sciences Vol.11, No.9, May 2016) Bibliografi Author: Sukwadi, Ronald ; Suef, Mokh. ; Widawati, Enny Topik: internal data; VOC; text mining; QFD; JABFUNG-RS-FT-2017-01; JABFUNG-2020-RSFT-01 Bahasa: (EN )     Penerbit: Asian Research Publishing Network (ARPN)     Tahun Terbit: 2016     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: jeas_0516_4183.pdf (324.45KB; 5 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract Efficient product design process is crucial for enterprises willing to introduce new products or develop their existing products pursuing a short time to market. However, successful product design depends on the ability to effectively manage customer needs throughout the entire product development process. This study developed a voice of customer (VOC) program to help enterprises to identify customer needs. Accordingly, a text mining approach is proposed, which translates internal company data into customer needs automatically. Finally, an illustrative example is shown to clarify how this program can be applied by product designers in QFD. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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